A 2D geological model for Mauddud Formation in the Badra oil field is built using Rockworks 16 software. Mauddud Formation produces oil from limestone units; it represents the main reservoir in the Badra oil field. Six wells (BD-1, BD-2, BD-4, BD-5, P-15, and P-19) are selected to build facies and petrophysical (Porosity and Water saturation) models. Wells data are taken from the core and cutting samples and studied through the microscopic. The petrophysical data (effective porosity and water saturation) are derived from computer processes interpretation results that are calculated by using Interactive Petrophysics software. The 2D models are built to illustrate the vertical and horizontal distribution of petrophysical properties between we

Automation is one of the key systems in modern agriculture, providing potential solutions to the challenges related to the growing world population, demographic shifts, and economic situation. The present article aims to highlight the importance of precision agriculture (PA) and smart agriculture (SA) in increasing agricultural production and the importance of environmental protection in increasing production and reducing traditional production. For this purpose, different types of automation systems in the field of agricultural operations are discussed, as well as smart agriculture technologies including the Internet of Things (IoT), artificial intelligence (AI), machine learning (ML), big data analysis, in addition to agricultural robots,

The purpose of this study is to avoid delays and cost changes that occur in emergency reconstruction projects especially in post disaster circumstances. This study is aimed to identify the factors that affect the real construction period and the real cost of a project against the estimated period of construction and the estimated cost of the project. The case study is related to the construction projects in Iraq. Thirty projects in different areas of construction in Iraq were selected as a sample for this study. Project participants from the projects authorities provided data about the projects through a data collection distributed survey made by the authors. Mathematical data analysis was used to construct a model to predict change

The typographical elements work significantly in engaging a recipient and attracting his attention to the idea and content of the printed work with all its types and goals for which<br /> it is designed. This is because of the fact that the typographical elements have tremendous expression capabilities that reflect the content of the artistic work in a simple way without any complexities. These elements have a special effect in achieving a clear, readable design, besides their effective contribution to the reception and understanding of the designs by the recipient. Accordingly, the designs of the electronic advertisement poster with their promoting goals of its products are considered among the graphic achieveme

Aims Nurses are key members of the health care team, providing competent care for individuals, families, and communities in elective or emergent conditions. When nurses are involved in disaster management without proper preparation, their capacity to deliver care may be significantly compromised. However, assessment nurses’ perceptions of disaster preparedness and core competence are limited. The study assessed the nurses’ perception of disaster preparedness and core competence. And the association between sociodemographic characteristics and disaster preparedness and core competence. Instrument & Methods This cross-sectional study was conducted from February 22 to August 15, 2024, in four teaching hospitals (Baghdad Teaching Hospital,

The use of artificial intelligence (AI) technology is rapidly expanding in nursing and society. However, its use in healthcare comes with a number of challenges and concerns. The authors of this article use the sociotechnical model to consider the expanding use of AI in nursing and healthcare from a global perspective. Select references from the literature are used to support this important discussion for nurses and other healthcare professionals. Artificial intelligence is a major innovation that, if used properly, can reduce errors and improve efficiency and healthcare quality. It has also been shown to increase patient support, healthcare access and patient care. Here the authors address some of the limitations and challenges of